CN110611939A - Mesh structure-based intelligent transmission method for monitoring data of power distribution network - Google Patents
Mesh structure-based intelligent transmission method for monitoring data of power distribution network Download PDFInfo
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- CN110611939A CN110611939A CN201910770807.6A CN201910770807A CN110611939A CN 110611939 A CN110611939 A CN 110611939A CN 201910770807 A CN201910770807 A CN 201910770807A CN 110611939 A CN110611939 A CN 110611939A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/20—Negotiating bandwidth
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
- H04W72/566—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0289—Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/04—Error control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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Abstract
The invention discloses a mesh structure-based intelligent transmission method for monitoring data of a power distribution network, which comprises the following steps: each monitoring terminal in the power distribution network is regarded as a node, and each node is networked by adopting a mesh structure; dividing a plurality of networking nodes into node clusters in a mesh network; if a multi-hop network exists in the node cluster, data are transmitted by adopting a learning networking mode, and if the multi-hop network does not exist in the node cluster, data are transmitted by adopting a polling mode; determining the priority of core node information transmission according to the grade division of the core nodes; the gateway collects the uploaded data of the core nodes and transmits the data to the background server for information processing; the problems that in the prior art, a mesh network structure is widely used in a power distribution network, and with the continuous expansion of the scale of the mesh network structure, the multi-hop mesh structure has the defects of bandwidth reduction, network delay and the like are solved.
Description
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to an intelligent transmission method for monitoring data of a power distribution network based on a mesh structure.
Background
The wireless Mesh network is a wireless multi-hop Mesh topology network and has the advantages of self-organization, self-management and self-healing capabilities, good safety, high stability, large coverage area, large bandwidth, zero charge, flexible and convenient networking and the like; the mesh network structure is widely used in the power distribution network based on the advantages of the mesh structure, however, with the continuous expansion of the scale of the mesh network structure, the multi-hop mesh structure has the problems of bandwidth reduction, network delay and the like, the terminals required to be monitored in the power distribution network have various types, wide geographical distribution, large span and a series of problems such as the important grade, the quantity, the data volume and the data communication of the monitored equipment are not equal, which often causes the conditions of large data transmission quantity, data blockage and high delay under certain conditions, and cannot meet the requirements of safe and reliable operation of the power distribution network.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the utility model provides a distribution network monitoring data intelligent transmission method based on mesh structure, in order to solve the mesh network structure in the prior art and be widely used in the distribution network, however along with the continuous expansion of mesh network structure scale, the mesh structure of multihop has the problem that bandwidth reduces, network delay etc. again, the terminal type that requires monitoring in the distribution network is various, the region distributes widely, the span is big, the important grade of monitoring equipment, quantity, data volume, data communication are not an equal series of problems, often lead to the condition that data transmission volume is big, data jam, delay is high under some circumstances, can't satisfy the technical problem such as the requirement of distribution network safe and reliable operation.
The technical scheme of the invention is as follows:
a mesh structure-based intelligent transmission method for monitoring data of a power distribution network comprises the following steps:
(1) each monitoring terminal in the power distribution network is regarded as a node, and each node is networked by adopting a mesh structure to form a multi-hop mesh network;
(2) dividing all networking nodes into different node clusters in a mesh network, wherein the node clusters at least contain one core node, and the core node collects all node information in the node clusters;
(3) if a multi-hop network exists in the node cluster, data are transmitted by adopting a learning networking mode, and if the multi-hop network does not exist in the node cluster, data are transmitted by adopting a polling mode;
(4) the method comprises the steps that the core nodes are classified according to the importance degree of data transmission of the core nodes, and the classified grades are dynamically adjusted according to real transmission information;
(5) determining the priority of core node information transmission according to the grade division of the core nodes; in the data transmission process, the core nodes with high grade are transmitted preferentially, if no core node with higher grade exists in each core node needing to transmit information, the information is transmitted according to a learning networking mode;
(6) and the gateway collects the uploaded data of the core nodes and transmits the data to the background server for information processing.
And the core node collects the monitoring information of the nodes in the cluster and transmits the monitoring information to the server through the communication network.
The core node divides the priority of core node information transmission according to the importance degree of the collected node information, and the importance degree is determined according to the load grade of the monitored load, primary equipment, secondary equipment, whether the monitored load is positioned at a line center or not, and plays a role in protection, control or metering; the division of the priority utilizes algorithm software to intelligently divide or professional operation and maintenance personnel to give priority to the core nodes.
The priority transmission of the core node information transmission is realized by sending data frames in advance; the data sent by the core node is divided into a first data frame and a second data frame, and the first data frame comprises information of priority and data packet size; the second data frame is terminal monitoring data which are collected by the core node and need to be transmitted; and comparing the priority and the data quantity of the information of the first data frame which is transmitted in advance, so as to determine the transmission sequence of the second data frame.
After the core node receives the first data frame pre-sent by the previous core node, the core node receiving the data automatically allocates bandwidth to the previous core node according to the data size information in the first data frame, and the phenomenon of data blockage does not occur in the transmission of the second data frame.
The core node records the transmission condition of the last core node, and the recording information comprises transmission time, transmission data volume, data retransmission times, packet loss rate and signal strength.
The learning networking is a networking mode of intelligently selecting a networking link according to the excellent condition of the data receiving node on the data transmission record information of the data sending node;
the concrete implementation steps comprise:
(1) acquiring the record information of the information transmission of the last data sending node in the data receiving node;
(2) the transmission condition of the last core node needing data transmission at the current moment is evaluated by combining the recorded information and the transmission link;
(3) and selecting a communication transmission link according to the evaluation result.
The invention has the advantages of
The invention provides a mesh structure-based intelligent transmission method for monitoring data of a power distribution network, which is characterized in that on the basis of a mesh structure, core nodes in a mesh structure node cluster are divided into important degrees according to the important grades of the monitoring data, data are preferentially transmitted according to the important degrees, and intelligent data transmission is carried out between the core nodes without the important nodes and between the nodes in the node cluster by adopting a learning-type link, so that the probability of data blockage is reduced, the network delay is reduced, the reliability and the transmission efficiency of data transmission of the power distribution network are improved, the transmission and sharing of service system information of planning, production, scheduling, marketing and the like of the power distribution network can be further realized, the optimal configuration and utilization of electric energy are carried out, and the reliability of power grid operation and the energy utilization rate are improved.
The invention has the advantages that:
(1) by means of the core node priority level comparison mode, the transmission priority with high priority level is transmitted preferentially, reliable transmission of important data of the power distribution network is guaranteed, and the operation reliability of the power distribution network is effectively improved.
(2) And a learning networking mode is adopted, the optimal communication chain is matched in real time, the probability of network blockage is reduced, and the network delay is reduced.
(3) The core node for receiving the data can dynamically allocate the bandwidth to the data sending node, thereby effectively improving the utilization rate of the road and reducing the data transmission delay.
The problems that in the prior art, a mesh network structure is widely used in a power distribution network, however, with continuous expansion of the scale of the mesh network structure, the multi-hop mesh structure has the problems of bandwidth reduction, network delay and the like, the problems that the types of terminals required to be monitored in the power distribution network are various, the regional distribution is wide, the span is large, the important levels, the number, the data quantity and the data communication of monitored equipment are not equal, the conditions of large data transmission quantity, data blockage and high delay under certain conditions are often caused, and the requirements of safe and reliable operation of the power distribution network cannot be met are solved.
Drawings
FIG. 1 is a diagram of a structure of one embodiment of the method of the present invention;
FIG. 2 is a schematic flow chart of a learning networking approach of the present invention;
fig. 3 is a flowchart of a data transmission method according to the present invention.
Detailed Description
Referring to fig. 3, the method for intelligently transmitting the monitoring data of the power distribution network based on the mesh structure is characterized by comprising the following steps:
(1) each monitoring terminal in the power distribution network is regarded as a node, and each node is networked by adopting a mesh structure to form a multi-hop mesh network; the multi-hop mesh network is a mesh network which can directly communicate with a target node (receiving node) through a source node (data transmitting node) or indirectly communicate through a relay node;
(2) in the mesh network, all networking nodes are divided into different node clusters, each node cluster at least comprises one core node, and the core nodes collect information of other nodes in the node clusters;
(3) if a multi-hop network exists in the node cluster, data are transmitted by adopting a learning networking mode, and if the multi-hop network does not exist in the node cluster, data are transmitted by adopting a polling mode;
(4) carrying out grade division according to the importance degree of the core node transmission data;
(5) determining the priority of core node information transmission according to the grade division of the core nodes; in the data transmission process, the core nodes with high grade are transmitted preferentially, if no core node with higher grade exists in each core node to be transmitted, information transmission is carried out according to a learning networking mode;
(6) and the gateway collects the uploaded data of the core nodes and transmits the data to the background server for information processing.
The division of the node cluster needs to meet the precondition of division: the number of nodes in the cluster is determined according to the transmission capacity of the core nodes, the total data transmission amount of all the nodes does not exceed 80% of the maximum data receiving capacity of the core nodes, the remaining 20% serves as margin, the actual regional distribution condition of the power distribution network monitoring terminal is combined, and theoretical topological division is matched with actual lines.
And the core node collects the monitoring information of the nodes in the cluster and transmits the monitoring information to the server through the communication network.
The core node divides the priority of core node information transmission according to the importance degree of the collected node information, such as the load grade of the monitored load, primary equipment, secondary equipment, whether the monitored load is in a line pivot position, and the monitoring node plays roles in protection, control, metering and the like; the grade division can be intelligently divided by using algorithm software, and the professional operation and maintenance personnel can give priority to the core nodes according to the actual line condition.
The priority transmission of the core node information transmission is realized by sending data frames in advance; the data sent by the core node can be divided into a first data frame and a second data frame, and the first data frame comprises information of priority and data packet size; the second data frame is terminal monitoring data which are collected by the core node and need to be transmitted; and comparing the priority and the data quantity of the information of the first data frame which is sent in advance to determine the sending sequence of the second data frame.
After the core node receives the first data frame pre-sent by the previous core node or the core nodes, the core node receiving the data automatically allocates proper bandwidth to the previous core node or the core nodes according to the data volume size information in the first data frame, and the phenomenon of data blockage does not occur in the transmission of the second data frame. The division of the priority is dynamically adjusted according to the real data information; the information of the monitoring data of the power distribution network adopts the mode that the data are reported according to the fixed time interval according to the existing mode, so that the importance degree of the information uploaded to the core node by the nodes in the node cluster at some time is high, and the importance degree of the information at another time is low, and therefore, the information priority identifier is added into the message uploaded to the core node by the nodes in the cluster and serves as the basis for dividing the priority of the core node.
The last core node refers to a core node (sending data) of a, a core node (receiving data) of B, B is directly connected with a, and for B, at the moment, the a node receiving all the first data frames sent by a is called the last core node or the core nodes of B.
Referring to fig. 1, if a communication link formed by two core nodes needs to transmit information through a point E at a certain time, such as a D-E-gateway and a D-F-gateway, but the core node C collects information of a distribution line relay protection device at this time, and the core node C collects information of a distribution network metering device at this time, the priority of the core node C is higher than that of the core node D because the importance degree of the device playing a protective role in operation in the distribution network is higher than that of the metering device, and the core node C can transmit data to the core node E better than the core node D. However, the distribution network monitoring terminal reports data at a fixed time interval, which may cause other times, and the situation is completely reversed, where D is collected information of the distribution line relay protection device, and C is collected information of the distribution network metering device, and at this time, the D node may be superior to the C node to preferentially transmit data to the E node, and the reason for implementing the dynamic switching of priority is that the information collected in the C node and the D node includes message priority identifier information when the E node uploads data at a child node in its respective node cluster, and the E node compares the message priority information; the monitoring terminal represented by each child node has a fixed function, a constant monitoring data type and a constant importance degree of data, so that the IP address of each child node can be used for representing the priority information of the message.
The core node can record the transmission condition of the last one or more core nodes, and the record information comprises transmission time, transmission data size, data retransmission times, packet loss rate, signal strength and the like.
The learning networking is a networking mode of intelligently selecting a networking link according to the excellent condition of the data receiving node on the data transmission record information of the data sending node.
The learning networking mode implementation steps comprise:
(1) acquiring record information of information transmission of one or more data sending nodes in a data receiving node;
(2) combining the recorded information to evaluate the transmission condition of the last one or more core nodes needing to transmit data at the current moment and the transmission link;
(3) the communication transmission link can be intelligently selected according to the evaluation condition.
Referring to fig. 1, when A, B, C, D, E, F in fig. 1 are connected to each other as shown in the figure, when E has a higher priority as in A, B, C, D, E, F, E has a better information transmission right than other core nodes; if A, B, C, D, E, F are all in the same priority level, then A, B, C, D, E, F refers to the learning networking mode for information transmission, for example, at a certain time, the data collected by the core nodes are transmitted to the gateway, which may be a D-E-gateway or a D-F-gateway, but it is found through the recorded information in the core nodes E and F that the communication between D-E during this time period is better than the communication between D-F during this time period if the data amount is too large or the packet loss rate is too high or the signal strength is too weak, so that with the learning networking mode, when the information transmission is performed during this time period of each day, the link connection of the D-F-gateway is always used first without trying the probe connection of the D-E-gateway, the communication link is used as an alternative communication link, so that the networking construction time of the communication link is effectively reduced, the network delay is reduced, and the smoothness of the network is also ensured. Selecting a communication link in a learning networking mode under the condition that nodes in the cluster can form a multi-hop network, and collecting the information of each node to a core node; and if all the child nodes in the cluster are directly connected with the core node, the information is transmitted in a polling mode.
Claims (7)
1. A mesh structure-based intelligent transmission method for monitoring data of a power distribution network comprises the following steps:
(1) each monitoring terminal in the power distribution network is regarded as a node, and each node is networked by adopting a mesh structure to form a multi-hop mesh network;
(2) dividing all networking nodes into different node clusters in a mesh network, wherein the node clusters at least contain one core node, and the core node collects all node information in the node clusters;
(3) if a multi-hop network exists in the node cluster, data are transmitted by adopting a learning networking mode, and if the multi-hop network does not exist in the node cluster, data are transmitted by adopting a polling mode;
(4) the method comprises the steps that the core nodes are classified according to the importance degree of data transmission of the core nodes, and the classified grades are dynamically adjusted according to real transmission information;
(5) determining the priority of core node information transmission according to the grade division of the core nodes; in the data transmission process, the core nodes with high grade are transmitted preferentially, if no core node with higher grade exists in each core node needing to transmit information, the information is transmitted according to a learning networking mode;
(6) and the gateway collects the uploaded data of the core nodes and transmits the data to the background server for information processing.
2. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: and the core node collects the monitoring information of the nodes in the cluster and transmits the monitoring information to the server through the communication network.
3. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: the core node divides the priority of core node information transmission according to the importance degree of the collected node information, and the importance degree is determined according to the load grade of the monitored load, primary equipment, secondary equipment, whether the monitored load is positioned at a line center or not, and plays a role in protection, control or metering; the division of the priority utilizes algorithm software to intelligently divide or professional operation and maintenance personnel to give priority to the core nodes.
4. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: the priority transmission of the core node information transmission is realized by sending data frames in advance; the data sent by the core node is divided into a first data frame and a second data frame, and the first data frame comprises information of priority and data packet size; the second data frame is terminal monitoring data which are collected by the core node and need to be transmitted; and comparing the priority and the data quantity of the information of the first data frame which is transmitted in advance, so as to determine the transmission sequence of the second data frame.
5. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: after the core node receives the first data frame pre-sent by the previous core node, the core node receiving the data automatically allocates bandwidth to the previous core node according to the data size information in the first data frame, and the phenomenon of data blockage does not occur in the transmission of the second data frame.
6. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: the core node records the transmission condition of the last core node, and the recording information comprises transmission time, transmission data volume, data retransmission times, packet loss rate and signal strength.
7. The intelligent transmission method of the monitoring data of the power distribution network based on the mesh structure as recited in claim 1, wherein the method comprises the following steps: the learning networking is a networking mode of intelligently selecting a networking link according to the excellent condition of the data receiving node on the data transmission record information of the data sending node;
the concrete implementation steps comprise:
(1) acquiring the record information of the information transmission of the last data sending node in the data receiving node;
(2) the transmission condition of the last core node needing data transmission at the current moment is evaluated by combining the recorded information and the transmission link;
(3) and selecting a communication transmission link according to the evaluation result.
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